Abstract

Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel, much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.